Arpita Biswas

1.4k citations
33 papers · 914 indexed · h-index 13
Topics
Auction Theory and Applications (5 papers)Advanced Bandit Algorithms Research (5 papers)IoT and Edge/Fog Computing (4 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Arpita Biswas

30 papers receiving 896 citations

Peers

Arpita Biswas
Comparison fields: 5 of 106
  • Molecular Biology 406
  • Rheumatology 263
  • Genetics 129
  • Pulmonary and Respiratory Medicine 120
  • Genetics 114
Replace Anna Börjesson with:
Anna Börjesson Sweden
Christopher C. Gibson United States
Rafeeq Ahmed United States
Bing Jiang China
Chun Zhang China
Heng Pan United States
Minzhe Guo United States
Zhuqing Jia China
Konstantin Miller Germany
Samuel T. Waters United States
Arpita Biswas relative to Anna Börjesson Sweden Anna Börjesson's profile →
Citations per field
00.5×10×12.7×
Anna Börjesson · 1×
Citations per year

Countries citing papers authored by Arpita Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Biswas

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Biswas. A scholar is included among the top collaborators of Arpita Biswas 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 Arpita Biswas. Arpita Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 14
4 0
5 6
6 0
7 1
8 9
9 14
10 14
11 2
12 7
13 113
14 150
15 24
16 23
17
Managing overstaying electric vehicles in park-and-charge facilities
1
18 11
19 23
20 255

About Arpita Biswas

Arpita Biswas is a scholar working on Management Science and Operations Research, Safety Research and Computer Networks and Communications, having authored 33 papers that have together received 914 indexed citations. Recurring topics across this work include Auction Theory and Applications (5 papers), Advanced Bandit Algorithms Research (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Rheumatology (263 citations), Nephrology (103 citations) and Genetics (114 citations). Arpita Biswas has collaborated with scholars based in India, United States and France. Frequent co-authors include David J. Goldhamer, Michael N. Wosczyna, Masakazu Yamamoto, Shoko Yamamoto, A M Snowman, B.M. Olivera, SH Snyder, JA Wagner, Krishna Lal Baishnab and Siddharth Barman. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Science Advances.

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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