Prasad Saripalli

644 total citations
12 papers, 412 citations indexed

About

Prasad Saripalli is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Prasad Saripalli has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Prasad Saripalli's work include Cloud Computing and Resource Management (4 papers), CO2 Sequestration and Geologic Interactions (3 papers) and Data Quality and Management (2 papers). Prasad Saripalli is often cited by papers focused on Cloud Computing and Resource Management (4 papers), CO2 Sequestration and Geologic Interactions (3 papers) and Data Quality and Management (2 papers). Prasad Saripalli collaborates with scholars based in United States, India and Singapore. Prasad Saripalli's co-authors include Ben Walters, Peter B. McGrail, Gopal Pingali, Kartik Shankar, James E. Amonette, Neeraj Gupta, Curtis M. Oldenburg, James C. Hayes, B. D. Milbrath and Vasudeva Varma and has published in prestigious journals such as Energy Conversion and Management and Journal of Radioanalytical and Nuclear Chemistry.

In The Last Decade

Prasad Saripalli

12 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasad Saripalli United States	8	254	171	101	79	43	12	412
Yevgeniya Kovalchuk United Kingdom	9	38 0.1×	56 0.3×	25 0.2×	101 1.3×	30 0.7×	27	334
Eko Didik Widianto Indonesia	11	150 0.6×	70 0.4×	24 0.2×	54 0.7×	37 0.9×	102	471
Haicheng Chen China	10	54 0.2×	43 0.3×	8 0.1×	46 0.6×	89 2.1×	15	351
Di Hou China	10	183 0.7×	232 1.4×	20 0.2×	122 1.5×	8 0.2×	52	439
Ismail Al-Taharwa Jordan	8	62 0.2×	37 0.2×	16 0.2×	73 0.9×	31 0.7×	17	471
M. Pushpalatha India	8	48 0.2×	111 0.6×	120 1.2×	81 1.0×	6 0.1×	35	368
Gautam Barua India	9	91 0.4×	199 1.2×	94 0.9×	126 1.6×	36 0.8×	39	361
Nianhua Yang China	6	55 0.2×	26 0.2×	20 0.2×	97 1.2×	19 0.4×	15	281
Chang Seob Kim South Korea	6	84 0.3×	143 0.8×	36 0.4×	98 1.2×	6 0.1×	12	443
Zhijie Liu China	8	96 0.4×	57 0.3×	14 0.1×	55 0.7×	49 1.1×	18	339

Countries citing papers authored by Prasad Saripalli

Since Specialization

Citations

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

Fields of papers citing papers by Prasad Saripalli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasad Saripalli

This figure shows the co-authorship network connecting the top 25 collaborators of Prasad Saripalli. A scholar is included among the top collaborators of Prasad Saripalli 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 Prasad Saripalli. Prasad Saripalli 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.

Clements, William R., et al.. (2018). Scalable Record Linkage. 4268–4275. 2 indexed citations

2.

Saripalli, Prasad, et al.. (2017). Assessment of healthcare claims rejection risk using machine learning. 1–6. 7 indexed citations

3.

Saripalli, Prasad. (2016). Analytic and learning framework for quantifying Value in Value Based Care. 124. 261–266. 1 indexed citations

4.

Kakadia, Dharmesh, Prasad Saripalli, & Vasudeva Varma. (2013). MECCA. 41–41. 7 indexed citations

5.

Saripalli, Prasad, et al.. (2012). BlueShield: A Layer 2 Appliance for Enhanced Isolation and Security Hardening among Multi-tenant Cloud Workloads. 195–198. 2 indexed citations

6.

Saripalli, Prasad & Gopal Pingali. (2011). MADMAC: Multiple Attribute Decision Methodology for Adoption of Clouds. 316–323. 70 indexed citations

7.

Saripalli, Prasad, et al.. (2011). Load Prediction and Hot Spot Detection Models for Autonomic Cloud Computing. 397–402. 49 indexed citations

8.

Saripalli, Prasad, et al.. (2011). Implementation and Usability Evaluation of a Cloud Platform for Scientific Computing as a Service (SCaaS). 3779. 345–354. 13 indexed citations

9.

Saripalli, Prasad & Ben Walters. (2010). QUIRC: A Quantitative Impact and Risk Assessment Framework for Cloud Security. 280–288. 158 indexed citations

10.

McIntyre, Justin I., et al.. (2008). Potential method for measurement of CO2 leakage from underground sequestration fields using radioactive tracers. Journal of Radioanalytical and Nuclear Chemistry. 277(1). 85–89. 9 indexed citations

11.

Saripalli, Prasad, et al.. (2005). Design of sensor networks for long term monitoring of geological sequestration. Energy Conversion and Management. 47(13-14). 1968–1974. 14 indexed citations

12.

Saripalli, Prasad & Peter B. McGrail. (2002). Semi-analytical approaches to modeling deep well injection of CO2 for geological sequestration. Energy Conversion and Management. 43(2). 185–198. 80 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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