Ishan Banerjee

1.1k total citations
12 papers, 697 citations indexed

About

Ishan Banerjee is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Ishan Banerjee has authored 12 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Software and 4 papers in Computer Networks and Communications. Recurrent topics in Ishan Banerjee's work include Software Testing and Debugging Techniques (7 papers), Software Reliability and Analysis Research (6 papers) and Software Engineering Research (6 papers). Ishan Banerjee is often cited by papers focused on Software Testing and Debugging Techniques (7 papers), Software Reliability and Analysis Research (6 papers) and Software Engineering Research (6 papers). Ishan Banerjee collaborates with scholars based in United States, Spain and India. Ishan Banerjee's co-authors include Azhar M. Memon, Arvind Nagarajan, Atif M. Memon, Bao N. Nguyen, Bryan Robbins, Vahid Garousi, Fei Guo, Seongbeom Kim, Martin Schäf and Andreas Podelski and has published in prestigious journals such as American Mathematical Monthly, Information and Software Technology and ACM SIGPLAN Notices.

In The Last Decade

Ishan Banerjee

8 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ishan Banerjee United States	8	538	396	222	186	89	12	697
Wing Lam United States	15	837 1.6×	711 1.8×	235 1.1×	228 1.2×	108 1.2×	28	1.0k
Renée Bryce United States	16	1.1k 2.0×	606 1.5×	289 1.3×	132 0.7×	84 0.9×	47	1.2k
Marcelo d’Amorim Brazil	20	728 1.4×	619 1.6×	271 1.2×	215 1.2×	315 3.5×	67	1.1k
Wei Le United States	14	283 0.5×	275 0.7×	141 0.6×	113 0.6×	163 1.8×	52	512
Neha Rungta United States	14	747 1.4×	530 1.3×	146 0.7×	172 0.9×	201 2.3×	47	905
Minxue Pan China	9	260 0.5×	255 0.6×	119 0.5×	156 0.8×	111 1.2×	68	432
Mingzhe Wang China	14	276 0.5×	200 0.5×	133 0.6×	237 1.3×	155 1.7×	41	515
Andrew Ruef United States	6	301 0.6×	218 0.6×	77 0.3×	226 1.2×	171 1.9×	10	495
Xiangjuan Yao China	13	354 0.7×	220 0.6×	71 0.3×	74 0.4×	82 0.9×	45	519

Countries citing papers authored by Ishan Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Ishan Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishan Banerjee

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

All Works

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12 of 12 papers shown

1.

Banerjee, Ishan & Amites Sarkar. (2024). Sums of Two Squares Visualized. American Mathematical Monthly. 131(7). 558–565.

2.

Banerjee, Ishan, et al.. (2023). Diagnostic Performance Between Chest CT Severity Score and Initial Reverse Transcription-Polymerase Chain Reaction (RT-PCR) Cycle Values in COVID-19 Patients and Their Relation With the Clinical Status of Patients. Cureus. 15(10). e47733–e47733.

3.

Banerjee, Ishan. (2022). A Short Review on Fast Ways to Multiply Two Matrices. Preprints.org.

4.

Guo, Fei, et al.. (2015). Proactively Breaking Large Pages to Improve Memory Overcommitment Performance in VMware ESXi. ACM SIGPLAN Notices. 50(7). 39–51.

5.

Guo, Fei, et al.. (2015). Proactively Breaking Large Pages to Improve Memory Overcommitment Performance in VMware ESXi. 39–51. 38 indexed citations

6.

Memon, Atif M., Ishan Banerjee, Bao N. Nguyen, & Bryan Robbins. (2013). The first decade of GUI ripping: Extensions, applications, and broader impacts. 11–20. 16 indexed citations

7.

Banerjee, Ishan, Bao N. Nguyen, Vahid Garousi, & Atif M. Memon. (2013). Graphical user interface (GUI) testing: Systematic mapping and repository. Information and Software Technology. 55(10). 1679–1694. 101 indexed citations

8.

Nguyen, Bao N., Bryan Robbins, Ishan Banerjee, & Atif M. Memon. (2013). GUITAR: an innovative tool for automated testing of GUI-driven software. Automated Software Engineering. 21(1). 65–105. 133 indexed citations

9.

Podelski, Andreas, et al.. (2012). Lightweight Static Analysis for GUI Testing. Open Repository and Bibliography (University of Luxembourg). 301–310. 36 indexed citations

10.

Memon, Azhar M., Ishan Banerjee, & Arvind Nagarajan. (2004). GUI ripping: reverse engineering of graphical user interfaces for testing. 260–269. 244 indexed citations

11.

Memon, Azhar M., et al.. (2004). DART: a framework for regression testing "nightly/daily builds" of GUI applications. 2. 410–419. 35 indexed citations

12.

Memon, Azhar M., et al.. (2004). What test oracle should I use for effective GUI testing?. 164–173. 94 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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