Sumit Kumar Banshal

509 total citations
32 papers, 305 citations indexed

About

Sumit Kumar Banshal is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Information Systems. According to data from OpenAlex, Sumit Kumar Banshal has authored 32 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Information Systems. Recurrent topics in Sumit Kumar Banshal's work include scientometrics and bibliometrics research (7 papers), Online Learning and Analytics (6 papers) and Advanced Text Analysis Techniques (3 papers). Sumit Kumar Banshal is often cited by papers focused on scientometrics and bibliometrics research (7 papers), Online Learning and Analytics (6 papers) and Advanced Text Analysis Techniques (3 papers). Sumit Kumar Banshal collaborates with scholars based in India, Bangladesh and United Kingdom. Sumit Kumar Banshal's co-authors include Vivek Kumar Singh, Pranab K. Muhuri, Ashraf Uddin, Aparna Basu, Mayank Yuvaraj, Manoj Kumar Verma, Robert John, Amit K. Shukla, Hiran H. Lathabai and Philipp Mayr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientometrics and Current Science.

In The Last Decade

Sumit Kumar Banshal

28 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sumit Kumar Banshal India	12	86	43	35	34	32	32	305
Rongying Zhao China	9	80 0.9×	45 1.0×	57 1.6×	33 1.0×	35 1.1×	36	266
Fuyuki Yoshikane Japan	10	174 2.0×	95 2.2×	108 3.1×	29 0.9×	19 0.6×	41	419
Sanhong Deng China	10	94 1.1×	71 1.7×	54 1.5×	51 1.5×	5 0.2×	43	249
Ashraf Uddin India	12	72 0.8×	223 5.2×	108 3.1×	53 1.6×	22 0.7×	25	452
Kenning Arlitsch United States	12	89 1.0×	80 1.9×	248 7.1×	44 1.3×	43 1.3×	38	412
Catherine Larson United States	12	51 0.6×	112 2.6×	127 3.6×	50 1.5×	12 0.4×	30	441
Irene Wormell Denmark	11	126 1.5×	57 1.3×	150 4.3×	17 0.5×	9 0.3×	37	331
Christine Tomlinson Canada	7	30 0.3×	41 1.0×	98 2.8×	63 1.9×	13 0.4×	14	350
Petr Knoth United Kingdom	13	120 1.4×	227 5.3×	186 5.3×	29 0.9×	25 0.8×	67	527
Chelsey Hill United States	5	10 0.1×	55 1.3×	43 1.2×	34 1.0×	10 0.3×	13	209

Countries citing papers authored by Sumit Kumar Banshal

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Kumar Banshal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit Kumar Banshal. 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 Sumit Kumar Banshal. The network helps show where Sumit Kumar Banshal may publish in the future.

Co-authorship network of co-authors of Sumit Kumar Banshal

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

All Works

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20 of 20 papers shown

Gulia, Preeti, et al.. (2025). LiteCShuffle: a lightweight and efficient deep learning approach for plant disease classification. Cogent Food & Agriculture. 11(1).

R, Rajesh Sharma, et al.. (2024). Bridging the Gap: Evaluating the Symbiotic Relationship of Cloud Computing with Data Science and Data Engineering. 1–5.

Banshal, Sumit Kumar, et al.. (2024). Sentimental impact of fake news on social media using an integrated ensemble framework. Social Network Analysis and Mining. 14(1). 2 indexed citations

Banshal, Sumit Kumar, et al.. (2024). Malicious Social Bot Detection: RL-RNN Based Hybrid Approach. 1–5. 1 indexed citations

Banshal, Sumit Kumar, et al.. (2024). Source Recommendation System Using Context-based Classification: Empirical Study on Multi-level Ensemble Methods. Journal of Scientometric Research. 13(2). 475–484. 1 indexed citations

Banshal, Sumit Kumar, et al.. (2023). An Ensemble-Based Model to Classify Scholarly Articles on Context: A Path to Recommender System. 1 indexed citations

Singh, Vivek Kumar, et al.. (2023). Measuring altmetric events: the need for longer observation period and article level computations. Global Knowledge Memory and Communication. 74(1/2). 297–309.

Banshal, Sumit Kumar, et al.. (2023). Exploring Twitter for Scientific and Public Engagement with Scholarly Articles. 1 indexed citations

Banshal, Sumit Kumar, Manoj Kumar Verma, & Mayank Yuvaraj. (2022). Quantifying global digital journalism research: a bibliometric landscape. Library Hi Tech. 40(5). 1337–1358. 30 indexed citations

10.

Banshal, Sumit Kumar, et al.. (2022). Power Laws in altmetrics: An empirical analysis. Journal of Informetrics. 16(3). 101309–101309. 16 indexed citations

11.

Banshal, Sumit Kumar, Vivek Kumar Singh, & Pranab K. Muhuri. (2020). Can altmetric mentions predict later citations? A test of validity on data from ResearchGate and three social media platforms. Online Information Review. 45(3). 517–536. 23 indexed citations

12.

Banshal, Sumit Kumar, et al.. (2020). Does presence of social media plugins in a journal website result in higher social media attention of its research publications?. Scientometrics. 124(3). 2103–2143. 12 indexed citations

13.

Banshal, Sumit Kumar, Vivek Kumar Singh, & Philipp Mayr. (2019). Comparing Research Performance of Private Universities in India with IITs, Central Universities and NITs. Current Science. 116(8). 1304–1304. 13 indexed citations

14.

Banshal, Sumit Kumar, et al.. (2018). Research Performance of the National Institutes of Technology in India. Current Science. 115(11). 2025–2025. 10 indexed citations

15.

Banshal, Sumit Kumar, et al.. (2018). An altmetric analysis of scholarly articles from India. Journal of Intelligent & Fuzzy Systems. 34(5). 3111–3118. 12 indexed citations

16.

Banshal, Sumit Kumar, et al.. (2017). Research Performance of Central Universities in India. Current Science. 112(11). 2198–2198. 23 indexed citations

17.

Banshal, Sumit Kumar, et al.. (2015). A Scientometric analysis of computer science research in India. 107. 177–182. 4 indexed citations

18.

Singh, Vivek Kumar, et al.. (2015). Scientometric mapping of research on ‘Big Data’. Scientometrics. 105(2). 727–741. 41 indexed citations

19.

Uddin, Ashraf, et al.. (2014). Thermal aware energy efficient bengali unicode reader in Text analysis. 11 indexed citations

20.

Banshal, Sumit Kumar, et al.. (2014). Mapping Computer Science research in Bangladesh. 107. 1–7. 4 indexed citations

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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