Ramakrishna Akella

621 citations
13 papers · 468 · h-index 7

Impact in

Papers in

Ramakrishna Akella

12 papers receiving 435 citations

Peers

Ramakrishna Akella
Comparison fields: 5 of 49
  • Management Information Systems 307
  • Industrial and Manufacturing Engineering 215
  • Strategy and Management 165
  • Management Science and Operations Research 63
  • Marketing 26
Replace Paul Iyogun with:
Paul Iyogun Canada
David Alcaide López de Pablo Spain
Michael H. Veatch United States
Yu-Jen Lin Taiwan
Chia‐Shin Chung United States
G. Feigin United States
Selçuk Karabatı Türkiye
S. T. Enns Canada
Zaid T. Balkhi Saudi Arabia
N. Hemachandra India
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Citations per field
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Citations per year

Countries citing papers authored by Ramakrishna Akella

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishna Akella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ramakrishna Akella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramakrishna Akella Line = papers co-authored together Ramakrishna Akella links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1994274
2 1985127
3
Simulation of a flexible manufacturing system
198513
4 198411
5
A Hybrid Approach to Extracting Disorder Mentions from Clinical Notes.
201510
6 20009
7 20248
8 20156
9
UCSC's System for CLEF eHealth 2013 Task 1
20134
10 19843
11 20252
12 20001
13 20020

About Ramakrishna Akella

Ramakrishna Akella is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 13 papers that have together received 468 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (5 papers), Topic Modeling (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (2 papers) and Advancements in Photolithography Techniques (2 papers). The work is most often cited by research in Management Information Systems (307 citations), Industrial and Manufacturing Engineering (215 citations), Strategy and Management (165 citations), Management Science and Operations Research (63 citations) and Marketing (26 citations). Ramakrishna Akella has collaborated with scholars based in United States and India. Frequent co-authors include Frank W. Ciarallo, Thomas E. Morton, Yong F. Choong, Stanley B. Gershwin, Decision Systems., Wooseung Jang, Eric H. Wang, Dıpu Sarkar and A. Skumanich. Their work appears in journals such as Tsinghua Science & Technology, Robotics and Computer-Integrated Manufacturing, IBM Journal of Research and Development, International Journal of Production Research and Management Science.

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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