Pamela Bhattacharya

1.0k citations
16 papers · 718 indexed · h-index 11
Topics
Software Engineering Research (13 papers)Software Testing and Debugging Techniques (6 papers)Software Reliability and Analysis Research (4 papers)
Journals
Journal of Systems and SoftwareInternational Conference on Software EngineeringInternational Conference on Management of Data
Partner nations
United StatesCanadaJapan

In The Last Decade

Pamela Bhattacharya

16 papers receiving 692 citations

Peers

Pamela Bhattacharya
Comparison fields: 5 of 33
  • Information Systems 670
  • Software 357
  • Computer Networks and Communications 232
  • Signal Processing 143
  • Computer Science Applications 125
Replace Meghan Revelle with:
Meghan Revelle United States
István Siket Hungary
André Hora Brazil
Peter Weißgerber Germany
Beat Fluri Switzerland
Joel Ossher United States
James Walden United States
Bowen Xu Singapore
Pamela Bhattacharya relative to Meghan Revelle United States Meghan Revelle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pamela Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Bhattacharya

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 12
3 72
4 5
5 21
6 89
7 26
8 91
9 99
10
Quantitative decision-making in software engineering
1
11 47
12 2
13 98
14 4
15 135
16 13

About Pamela Bhattacharya

Pamela Bhattacharya is a scholar working on Software, Computer Science Applications and Information Systems, having authored 16 papers that have together received 718 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Software (357 citations), Information Systems (670 citations) and Computer Science Applications (125 citations). Pamela Bhattacharya has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Iulian Neamtiu, Michalis Faloutsos, Marios Iliofotou, Christian R. Shelton, Liudmila Ulanova, Emad Shihab, Yasutaka Kamei, Barun Patra and Charles Lee. Their work appears in journals such as Journal of Systems and Software, International Conference on Software Engineering and International Conference on Management of Data.

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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