Pritam Gundecha

632 citations
13 papers · 174 indexed · h-index 9
Topics
Scientific Computing and Data Management (6 papers)Research Data Management Practices (4 papers)Privacy-Preserving Technologies in Data (3 papers)
Partner nations
United States

In The Last Decade

Pritam Gundecha

12 papers receiving 164 citations

Peers

Pritam Gundecha
Comparison fields: 5 of 37
  • Information Systems 72
  • Artificial Intelligence 70
  • Computer Networks and Communications 50
  • Sociology and Political Science 50
  • Information Systems and Management 50
Replace Aaron Schram with:
Aaron Schram United States
Frank McCown United States
Yannis Stavrakas Greece
Sagnik Ray Choudhury United States
Andrea Perego Italy
Javier Conejero Spain
Evelyn Balfe Ireland
Le‐Hung Vu Switzerland
Luchen Tan Canada
Michal Laclavík Slovakia
Pritam Gundecha relative to Aaron Schram United States Aaron Schram's profile →
Citations per field
00.5×4.3×
Aaron Schram · 1×
Citations per year

Countries citing papers authored by Pritam Gundecha

Since Specialization
Citations

This map shows the geographic impact of Pritam Gundecha'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 Pritam Gundecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritam Gundecha more than expected).

Fields of papers citing papers by Pritam Gundecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pritam Gundecha. 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 Pritam Gundecha. The network helps show where Pritam Gundecha may publish in the future.

Co-authorship network of co-authors of Pritam Gundecha

This figure shows the co-authorship network connecting the top 25 collaborators of Pritam Gundecha. A scholar is included among the top collaborators of Pritam Gundecha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pritam Gundecha. Pritam Gundecha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 16
5 11
6 21
7 15
8 10
9 9
10 25
11 3
12 39
13 20

About Pritam Gundecha

Pritam Gundecha is a scholar working on Information Systems and Management, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 174 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Research Data Management Practices (4 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Information Systems and Management (50 citations), Information Systems (72 citations) and Statistical and Nonlinear Physics (36 citations). Pritam Gundecha has collaborated with scholars based in United States. Frequent co-authors include Huan Liu, Geoffrey Barbier, Zhuo Feng, Suhas Ranganath, Guoliang Xue, Xi Fang, Dejun Yang, Mansurul Bhuiyan, Rama Akkiraju and Jalal Mahmud. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Interactive Intelligent Systems and arXiv (Cornell University).

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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