Steven Dolins

927 total citations
13 papers, 187 citations indexed

About

Steven Dolins is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Steven Dolins has authored 13 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Management Information Systems. Recurrent topics in Steven Dolins's work include Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (3 papers) and AI-based Problem Solving and Planning (3 papers). Steven Dolins is often cited by papers focused on Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (3 papers) and AI-based Problem Solving and Planning (3 papers). Steven Dolins collaborates with scholars based in United States. Steven Dolins's co-authors include Michael R. Silver, Ashutosh Srivastava, Bruce E. Flinchbaugh, Michael Bowen, Taane G. Clark, Rajpal Singh Punia, Suzanne Lao, Shameema Esufali, Richard Condit and Paul Kline and has published in prestigious journals such as IEEE Transactions on Industry Applications, Forest Ecology and Management and IEEE Transactions on Semiconductor Manufacturing.

In The Last Decade

Steven Dolins

11 papers receiving 171 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Dolins United States	7	50	43	32	28	26	13	187
Douglas A. Talbert United States	8	105 2.1×	35 0.8×	13 0.4×	70 2.5×	35 1.3×	40	341
Rüdiger Klar Germany	7	80 1.6×	55 1.3×	14 0.4×	13 0.5×	17 0.7×	17	238
Ch. Satyanarayana India	9	45 0.9×	25 0.6×	19 0.6×	8 0.3×	48 1.8×	72	296
Dipti P. Rana India	8	96 1.9×	14 0.3×	64 2.0×	12 0.4×	9 0.3×	41	230
Paul L. Jones United States	12	43 0.9×	4 0.1×	83 2.6×	17 0.6×	26 1.0×	23	331
Vipin Kumar India	6	43 0.9×	13 0.3×	39 1.2×	4 0.1×	3 0.1×	23	144
Shaveta Malik India	8	38 0.8×	24 0.6×	23 0.7×	21 0.8×	1 0.0×	18	210
Aldo Corbellini Italy	8	49 1.0×	7 0.2×	11 0.3×	3 0.1×	17 0.7×	22	261
Renjun Liu China	6	15 0.3×	31 0.7×	17 0.5×		82 3.2×	31	320

Countries citing papers authored by Steven Dolins

Since Specialization

Citations

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

Fields of papers citing papers by Steven Dolins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Dolins

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

All Works

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13 of 13 papers shown

1.

Condit, Richard, et al.. (2013). Data and database standards for permanent forest plots in a global network. Forest Ecology and Management. 316. 21–31. 32 indexed citations

2.

Punia, Rajpal Singh, et al.. (2012). Tetrahymena genome database Wiki: a community-maintained model organism database. Database. 2012(0). bas007–bas007. 36 indexed citations

3.

Wang, Yun, et al.. (2012). Effective detection of a mobile intruder in a partially connected wireless sensor networks. 14. 417–423.

4.

Dolins, Steven, et al.. (2008). Can AI Techniques Be Applied to Forest Science Data Integration Problems. National Conference on Artificial Intelligence. 21–23. 1 indexed citations

5.

Dolins, Steven, et al.. (2006). The Role of AI in Building a Culture of Partnership between Patients and Providers.. National Conference on Artificial Intelligence. 47–51. 2 indexed citations

6.

Dolins, Steven. (2006). Using the balanced scorecard process to compute the value of software applications. 881–884. 5 indexed citations

7.

Silver, Michael R., et al.. (2001). Case study: how to apply data mining techniques in a healthcare data warehouse.. PubMed. 15(2). 155–64. 63 indexed citations

8.

Dolins, Steven & J.D. Reese. (1992). A curve interpretation and diagnostic technique for industrial processes. IEEE Transactions on Industry Applications. 28(1). 261–267. 6 indexed citations

9.

Dolins, Steven. (1992). Analyzing manufacturing processes to determine the placement of diagnostic systems. IEEE Transactions on Components Hybrids and Manufacturing Technology. 15(6). 1146–1154.

10.

Kline, Paul & Steven Dolins. (1989). Designing Expert Systems: A Guide to Selecting Implementation Techniques. 8 indexed citations

11.

Dolins, Steven, Ashutosh Srivastava, & Bruce E. Flinchbaugh. (1988). Monitoring and diagnosis of plasma etch processes. IEEE Transactions on Semiconductor Manufacturing. 1(1). 23–27. 22 indexed citations

12.

Kline, Paul & Steven Dolins. (1986). Problem features that influence the design of expert systems. National Conference on Artificial Intelligence. 956–962. 3 indexed citations

13.

Dolins, Steven, et al.. (1985). Choosing Architectures for Expert Systems.. Defense Technical Information Center (DTIC). 9 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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