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Abhijit Chakraborty

20 papers hereh-index 12411 citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author14
  • middle author2
  • last author3

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph6
  • econ.GN3
  • gr-qc2
  • q-fin.GN2
  • q-fin.ST2
  • cond-mat.dis-nn1
same name
  • Abhijit Chakraborty — 12 papers, h 2
  • Abhijit Chakraborty — 8 papers, h 3
  • Abhijit Chakraborty — 3 papers, h 1
  • Abhijit Chakraborty — 3 papers, h 1
  • Abhijit Chakraborty — 2 papers, h 2
  • Abhijit Chakraborty — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedHierarchical communities in the walnut structure of the Japanese production network

46 citations · 202 across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

econ.GN2019

Identification of Key Companies for International Profit Shifting in the Global Ownership Network

Tembo Nakamoto, Abhijit Chakraborty, Yuichi Ikeda

In the global economy, the intermediate companies owned by multinational corporations are becoming an important policy issue as they are likely to cause international profit shifti…

gr-qc2019★ 23 cited

Dynamical Systems Analysis of K-essence Model

Abhijit Chakraborty, Anandamohan Ghosh, Narayan Banerjee

In the present work we investigate the stability of the k-essence models allowing upto quadratic terms of the kinetic energy. The system of field equations is written as an autonom…

physics.soc-ph2019★ 6 cited

Exponential random graph models for the Japanese bipartite network of banks and firms

Abhijit Chakraborty, Hazem Krichene, Hiroyasu Inoue +1

We use the exponential random graph models to understand the network structure and its generative process for the Japanese bipartite network of banks and firms. One of the well kno…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.