Steve Welch

1.4k total citations
12 papers, 68 citations indexed

About

Steve Welch is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Steve Welch has authored 12 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Information Systems and Management. Recurrent topics in Steve Welch's work include Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Steve Welch is often cited by papers focused on Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Steve Welch collaborates with scholars based in United States, Malaysia and India. Steve Welch's co-authors include Robin Mann, Daniel Gruhl, Petar Ristoski, Anna Lisa Gentile, Ismini Lourentzou, Anni Coden, Dmitry Yu. Zubarev, Daniel P. Sanders, A. H. Greenaway and Nathaniel H. Park and has published in prestigious journals such as Benchmarking An International Journal, Astronomy & Geophysics and National Conference on Artificial Intelligence.

In The Last Decade

Steve Welch

12 papers receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Welch United States	5	20	16	16	9	7	12	68
Marco Schreyer Switzerland	7	37 1.9×	24 1.5×	22 1.4×	5 0.6×	14 2.0×	13	109
Aditya Gupta United States	3	42 2.1×	8 0.5×	14 0.9×	5 0.6×	11 1.6×	7	67
Franca Piazza Germany	4	34 1.7×	19 1.2×	15 0.9×	8 0.9×	25 3.6×	4	105
Mohammad Faleh Ahmmad Hunitie Jordan	4	20 1.0×	9 0.6×	5 0.3×	17 1.9×	4 0.6×	19	76
Kijpokin Kasemsap Thailand	6	8 0.4×	17 1.1×	9 0.6×	11 1.2×	10 1.4×	15	72
Li Du China	8	82 4.1×	20 1.3×	22 1.4×	13 1.4×	16 2.3×	28	158
Thomas Hädrich Germany	5	15 0.8×	13 0.8×	4 0.3×	19 2.1×	9 1.3×	5	59
Ulrich Hasenkamp Germany	5	14 0.7×	37 2.3×	12 0.8×	13 1.4×	23 3.3×	10	75
Melanie Lourens South Africa	6	24 1.2×	6 0.4×	9 0.6×	14 1.6×	21 3.0×	79	133
Mallikarjuna Paramesha India	6	36 1.8×	24 1.5×	21 1.3×	6 0.7×	30 4.3×	12	109

Countries citing papers authored by Steve Welch

Since Specialization

Citations

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

Fields of papers citing papers by Steve Welch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Welch

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

Ristoski, Petar, Dmitry Yu. Zubarev, Anna Lisa Gentile, et al.. (2020). Expert-in-the-loop AI for Polymer Discovery. 2701–2708. 7 indexed citations

2.

Gentile, Anna Lisa, et al.. (2019). Task Oriented Data Exploration with Human-in-the-Loop. A Data Center Migration Use Case.. 610–613. 1 indexed citations

3.

Gentile, Anna Lisa, et al.. (2019). Identifying High Value Opportunities for Human in the Loop Lexicon Expansion. 604–609. 1 indexed citations

4.

Gruhl, Daniel, et al.. (2018). Interactive Dictionary Expansion using Neural Language Models.. 7–15. 5 indexed citations

5.

Lourentzou, Ismini, Daniel Gruhl, & Steve Welch. (2018). Exploring the Efficiency of Batch Active Learning for Human-in-the-Loop Relation Extraction. 1131–1138. 9 indexed citations

6.

Coden, Anni, et al.. (2017). Language Agnostic Dictionary Extraction.. 1 indexed citations

7.

Coden, Anni, et al.. (2017). Multi-lingual Concept Extraction with Linked Data and Human-in-the-Loop. 1–8. 8 indexed citations

8.

Drews, Clemens, Daniel Gruhl, Pablo N. Mendes, et al.. (2016). Symbiotic Cognitive Computing through Iteratively Supervised Lexicon Induction.. National Conference on Artificial Intelligence. 1 indexed citations

9.

Reed, Benjamin, et al.. (2004). LifeBoat: An Autonomic Backup and Restore Solution. 159–170. 2 indexed citations

10.

Welch, Steve, A. H. Greenaway, Peter Doel, & Gordon D. Love. (2003). Smart optics in ast. Astronomy & Geophysics. 44(1). 1.26–1.29. 4 indexed citations

11.

Welch, Steve, et al.. (2001). Remote Outsourcing Services for Multiple Branch Offices and Small Businesses via the Internet. USENIX Large Installation Systems Administration Conference. 7–14. 1 indexed citations

12.

Welch, Steve & Robin Mann. (2001). The development of a benchmarking and performance improvement resource. Benchmarking An International Journal. 8(5). 431–452. 28 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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