Kenneth Lind

22 papers receiving 594 citations

Peers

Kenneth Lind
Comparison fields: 5 of 72
  • Geriatrics and Gerontology 97
  • Software 73
  • Virology 45
  • Physiology 38
  • Molecular Biology 389
Replace Aditi Gupta with:
Aditi Gupta United States
Daiki Takahashi Japan
Wanshan Ning China
Dana Movshovitz‐Attias United States
Joshua A. Bittker United States
Xiaolong Wu China
Claude Pasquier France
Hans‐Christian Ehrlich Germany
Yu-Chen Lin Taiwan
Brian Lyons Australia
Kenneth Lind relative to Aditi Gupta United States Aditi Gupta's profile →
Citations per field
00.5×10×15×19×
Aditi Gupta · 1×
Citations per year

Countries citing papers authored by Kenneth Lind

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kenneth Lind, 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 Kenneth Lind Line = papers co-authored together Kenneth Lind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 2002117
3 200282
4 201471
5 201822
6 201522
7 202121
8 200920
9 201115
10 200913
11 201011
12 201510
13 201310
14
Estimation of Real-Time System Software Size using Function Points
20089
15
Estimation of real-time software component size
20088
16 20127
17 20116
18 20106
19 20194
20 20123

About Kenneth Lind

Kenneth Lind is a scholar working on Software, Information Systems, Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers), Advanced Software Engineering Methodologies (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA and protein synthesis mechanisms (4 papers), Software System Performance and Reliability (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Geriatrics and Gerontology (97 citations), Software (73 citations), Virology (45 citations), Physiology (38 citations) and Molecular Biology (389 citations). Kenneth Lind has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Zhihua Du, Thomas Leroy James, Rogardt Heldal, B. Matija Peterlin, Koh Fujinaga, Ghotas Evindar, John W. Cuozzo, Jianghe Deng, Todd L. Graybill and Cynthia H. Chiu. Their work appears in journals such as SLAS DISCOVERY, IEEE Transactions on Software Engineering, ACS Medicinal Chemistry Letters, IEEE Software and Antimicrobial Agents and Chemotherapy.

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.

Explore authors with similar magnitude of impact