Daniel Teichroew

1.4k citations
42 papers · 913 · h-index 16

Impact in

  • Finance top 5%
    • Capital Investment and Risk Analysis
    • Statistical Distribution Estimation and Applications
    • Advanced Statistical Methods and Models

Papers in

Daniel Teichroew

38 papers receiving 720 citations

Peers

Daniel Teichroew
Comparison fields: 5 of 123
  • Finance 177
  • Statistics and Probability 104
  • Management Science and Operations Research 115
  • Management Information Systems 77
  • Strategy and Management 125
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Teichroew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teichroew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965115
2 1956107
3 196598
4 196582
5 196769
6 196650
7 199333
8 197133
9 197231
10 197727
11 195727
12 196926
13 199825
14 196520
15 199318
16 195717
17 199913
18
An introduction to management science : deterministic models
196412
19 199112
20 195512

About Daniel Teichroew

Daniel Teichroew is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Information Systems and Statistics and Probability, having authored 42 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Advanced Software Engineering Methodologies (3 papers), Service-Oriented Architecture and Web Services (3 papers), Bayesian Methods and Mixture Models (3 papers), Business Process Modeling and Analysis (3 papers), Open Source Software Innovations (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Finance (177 citations), Statistics and Probability (104 citations), Management Science and Operations Research (115 citations), Management Information Systems (77 citations) and Strategy and Management (125 citations). Daniel Teichroew has collaborated with scholars based in United States, Egypt and Brazil. Frequent co-authors include Alexander A. Robichek, Warren G. Bennis, J. M. Jones, Samir Hanash, A. S. Householder, Mary M. Connors, J.K. Chaar, Richard A. Volz, F. G. Foster and John R. Strahler. Their work appears in journals such as Journal of the American Statistical Association, Electrophoresis, Management Science, Communications of the ACM and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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