Alex Kass

1.1k citations
31 papers · 349 indexed · h-index 14

Impact in

Papers in

Alex Kass

30 papers receiving 314 citations

Peers

Alex Kass
Comparison fields: 5 of 75
  • Computer Science Applications 95
  • Information Systems 115
  • Software 18
  • Artificial Intelligence 134
  • Medical Terminology 1
Replace Michel Léonard with:
Michel Léonard Switzerland
Alimohammad Shahri United Kingdom
Venky Shankararaman Singapore
Monika Rani India
Pierluigi Ritrovato Italy
David Fernandes Brazil
Mary Sánchez‐Gordón Norway
Randall Whitaker United States
Dragutin Kermek Croatia
Karthikeyan Umapathy United States
Alex Kass relative to Michel Léonard Switzerland Michel Léonard's profile →
Citations per field
00.5×4.4×
Michel Léonard · 1×
Citations per year

Countries citing papers authored by Alex Kass

Since Specialization
Citations

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

Fields of papers citing papers by Alex Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202218
2 201721
3 201623
4 201519
5 20145
6 20103
7
Automated review of natural language requirements documents
20092
8 20082
9 20082
10 200724
11
Using Lightweight NLP and Semantic Modeling to Realize the Internet's Potential as a Corporate Radar.
20066
12 199616
13
Authoring learning environments using an embedded pedagogical model
19962
14
Design choices for learning-by-doing software: when to choose Advise
19960
15
Using Broadcast Journalism To Motivate Hypermedia Exploration.
19943
16
An Authoring System for Creating Computer-Based Role-Performance Trainers.
19943
17 199430
18
Developing creative hypotheses by adapting explanations
199129
19
Adaptation-based explanation: extending script/frame theory to handle novel input
19893
20
Types of Explanations.
19878

About Alex Kass

Alex Kass is a scholar working on Computer Science Applications, Software, Artificial Intelligence, Information Systems and Management Information Systems, having authored 31 papers that have together received 349 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Open Source Software Innovations (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Advanced Software Engineering Methodologies (5 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Software Engineering Techniques and Practices (3 papers). The work is most often cited by research in Computer Science Applications (95 citations), Information Systems (115 citations), Software (18 citations), Artificial Intelligence (134 citations) and Medical Terminology (1 citation). Alex Kass has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Roger C. Schank, Kumar Abhinav, Kunal Verma, Anurag Dwarakanath, Peter Z. Yeh, Alpana Dubey, Eli Blevis, Robin Burke, Mary Williamson and Christopher K. Riesbeck. Their work appears in journals such as Semantic Web, Communications of the ACM, Diabetes Technology & Therapeutics, interactions and Journal of the Learning Sciences.

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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