Rob R. Weitz

480 citations
26 papers · 331 · h-index 10

Impact in

Papers in

Rob R. Weitz

22 papers receiving 290 citations

Peers

Rob R. Weitz
Comparison fields: 5 of 68
  • Management Science and Operations Research 106
  • Computer Science Applications 33
  • Industrial and Manufacturing Engineering 46
  • Artificial Intelligence 134
  • Management Information Systems 30
Replace Susan W. Palocsay with:
Susan W. Palocsay United States
Tatiana Gavrilova Russia
Samuel P. M. Choi Hong Kong
Hua Ma China
Dagoberto Castellanos–Nieves Spain
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Louis Ma Hong Kong
Jungtae Mun South Korea
Albertas Čaplinskas Lithuania
P. Pete Chong United States
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Citations per field
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Citations per year

Countries citing papers authored by Rob R. Weitz

Since Specialization
Citations

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

Fields of papers citing papers by Rob R. Weitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob R. Weitz. 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 Rob R. Weitz. The network helps show where Rob R. Weitz may publish in the future.

Co-authors

The 8 scholars most cited alongside Rob R. Weitz, 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 Rob R. Weitz Line = papers co-authored together Rob R. Weitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199380
2 199241
3 200539
4 199729
5
The Tablet PC for Faculty: A Pilot Project
200622
6 198619
7 199017
8
Tutored Problem Solving vs. “Pure” Worked Examples
200914
9 199014
10
Large-Course Redesign via Blended Learning: A Post-Implementation Assessment Across Institutions
201212
11 19969
12 20047
13
Comparing the Performance of Regression and Neural Networks as Data Quality Varies: a Business Value Approach
19936
14 20066
15
Comparing Worked Examples and Tutored Problem Solving: Pure vs. Mixed Approaches
20103
16 20193
17 20063
18 19972
19 20141
20
The Tablet PC Goes to College: Evaluating the Utility of Tablet PCs for Faculty in the Classroom
20051

About Rob R. Weitz

Rob R. Weitz is a scholar working on Artificial Intelligence, Management Science and Operations Research, Education, Sociology and Political Science and Information Systems, having authored 26 papers that have together received 331 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (8 papers), AI-based Problem Solving and Planning (4 papers), Stock Market Forecasting Methods (4 papers), Online and Blended Learning (3 papers), Digital Marketing and Social Media (3 papers), Forecasting Techniques and Applications (2 papers), Big Data and Business Intelligence (2 papers) and Education and Technology Integration (2 papers). The work is most often cited by research in Management Science and Operations Research (106 citations), Computer Science Applications (33 citations), Industrial and Manufacturing Engineering (46 citations), Artificial Intelligence (134 citations) and Management Information Systems (30 citations). Rob R. Weitz has collaborated with scholars based in United States, France and India. Frequent co-authors include Robert J. Kauffman, David A. Rosenthal, M. Tawfik Jelassi, S. Lakshminarayanan, Arnoud De Meyer, Neil T. Heffernan, Ryung S. Kim and Ron Salden. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Information & Management, International Journal of Forecasting, Decision Sciences and Omega.

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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