A. Bagchi

82 papers receiving 1.2k citations

Peers

A. Bagchi
Comparison fields: 5 of 99
  • Industrial and Manufacturing Engineering 197
  • Computer Graphics and Computer-Aided Design 66
  • Mechanics of Materials 300
  • Computer Networks and Communications 273
  • Artificial Intelligence 374
Replace И. В. Сергиенко with:
И. В. Сергиенко Ukraine
Peter Matthews United Kingdom
Chris Walshaw United Kingdom
Sebastian Brand Germany
Jianjun Chen China
Ilya Gertsbakh Israel
Georg Thimm Singapore
Michael de la Maza United States
Graham Horton Germany
S. Marrone Italy
A. Bagchi relative to И. В. Сергиенко Ukraine И. В. Сергиенко's profile →
Citations per field
00.5×4.9×
И. В. Сергиенко · 1×
Citations per year

Countries citing papers authored by A. Bagchi

Since Specialization
Citations

This map shows the geographic impact of A. Bagchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Bagchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Bagchi more than expected).

Fields of papers citing papers by A. Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Bagchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Bagchi. The network helps show where A. Bagchi may publish in the future.

Co-authors

The 25 scholars most cited alongside A. Bagchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Bagchi Line = papers co-authored together A. Bagchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994164
2 199688
3 199386
4 198579
5 199677
6 198571
7
Fast recursive formulations for best-first search that allow controlled use of memory
198960
8 198356
9 199849
10 198148
11 198540
12 201032
13 199929
14 201028
15 198328
16 198024
17 200823
18 197619
19
Particle based MAP state estimation: A comparison
200918
20 199618

About A. Bagchi

A. Bagchi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (13 papers), Target Tracking and Data Fusion in Sensor Networks (13 papers), Auction Theory and Applications (8 papers), Consumer Market Behavior and Pricing (7 papers), Stochastic processes and financial applications (7 papers), Optimization and Search Problems (7 papers), Scheduling and Optimization Algorithms (7 papers) and Artificial Intelligence in Games (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (197 citations), Computer Graphics and Computer-Aided Design (66 citations), Mechanics of Materials (300 citations), Computer Networks and Communications (273 citations) and Artificial Intelligence (374 citations). A. Bagchi has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include A.G. Evans, Ambuj Mahanti, K. V. Viswanathan, Zhigang Suo, G.E. Lucas, A. K. Pal, Tamer Başar, Pranab Kumar Mandal, H. Driessen and Y. Boers. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of the ACM, Journal of materials research/Pratt's guide to venture capital sources, Automatica and IEEE Transactions on Information Theory.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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