Chaitali Patel

4.3k total citations · 2 hit papers
6 papers, 3.0k citations indexed

About

Chaitali Patel is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Chaitali Patel has authored 6 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 2 papers in Management Information Systems. Recurrent topics in Chaitali Patel's work include Advanced Software Engineering Methodologies (4 papers), Software Engineering Techniques and Practices (4 papers) and Software Engineering Research (4 papers). Chaitali Patel is often cited by papers focused on Advanced Software Engineering Methodologies (4 papers), Software Engineering Techniques and Practices (4 papers) and Software Engineering Research (4 papers). Chaitali Patel collaborates with scholars based in United Kingdom and United States. Chaitali Patel's co-authors include Ronald E. McGaughey, Angappa Gunasekaran, A. Gunasekaran, Ercan Tırtıroğlu, Mark Lycett, Robert D. Macredie, R.J. Paul, Sergio de Cesare, Ray J. Paul and Antonio Merico and has published in prestigious journals such as Communications of the ACM, International Journal of Production Economics and Computer.

In The Last Decade

Chaitali Patel

6 papers receiving 2.6k citations

Hit Papers

A framework for supply chain performance measurement 2001 2026 2009 2017 2003 2001 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A framework for supply chain performance measurement
    2003 1.5k citations Angappa Gunasekaran, Chaitali Patel et al. International Journal of Production Economics profile →
  2. Performance measures and metrics in a supply chain environment
    2001 1.4k citations A. Gunasekaran, Chaitali Patel et al. International Journal of Operations & Production Management profile →

Peers

Chaitali Patel
James S. Keebler United States
Pietro Romano Italy
Janus Dóre Pagh United States
Nancy W. Nix United States
Nada R. Sanders United States
Milind Kumar Sharma India
Mark Barratt United States
Arun Kanda India
Pamela Danese Italy
Janet L. Hartley United States
James S. Keebler United States
Chaitali Patel
Citations per year, relative to Chaitali Patel Chaitali Patel (= 1×) peers James S. Keebler

Countries citing papers authored by Chaitali Patel

Since Specialization
Citations

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

Fields of papers citing papers by Chaitali Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaitali Patel

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

All Works

6 of 6 papers shown
1.
Cesare, Sergio de, Mark Lycett, Robert D. Macredie, Chaitali Patel, & Ray J. Paul. (2010). Examining perceptions of agility in software development practice. Communications of the ACM. 53(6). 126–130. 24 indexed citations
2.
Cesare, Sergio de, Chaitali Patel, Nicola Alessandro Iacovelli, Antonio Merico, & Mark Lycett. (2008). Tailoring Software Development Methodologies in Practice: A Case Study. Journal of Computing and Information Technology. 16(3). 157–157. 7 indexed citations
3.
Patel, Chaitali, Mark Lycett, Robert D. Macredie, & Sergio de Cesare. (2006). Perceptions of Agility and Collaboration in Software Development Practice. 19. 10c–10c. 9 indexed citations
4.
Gunasekaran, Angappa, Chaitali Patel, & Ronald E. McGaughey. (2003). A framework for supply chain performance measurement. International Journal of Production Economics. 87(3). 333–347. 1521 indexed citations breakdown →
5.
Lycett, Mark, Robert D. Macredie, Chaitali Patel, & R.J. Paul. (2003). Migrating agile methods to standardized development practice. Computer. 36(6). 79–85. 63 indexed citations
6.
Gunasekaran, A., Chaitali Patel, & Ercan Tırtıroğlu. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management. 21(1/2). 71–87. 1372 indexed citations breakdown →

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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