Barbro Back

1.2k citations
39 papers · 763 · h-index 13

Impact in

Papers in

Barbro Back

37 papers receiving 663 citations

Peers

Barbro Back
Comparison fields: 5 of 90
  • Accounting 326
  • Management Science and Operations Research 209
  • Finance 123
  • Management Information Systems 93
  • Artificial Intelligence 324
Replace Pervaiz Alam with:
Pervaiz Alam United States
Indranil Bose India
Flávio Barboza Brazil
Ana I. Marqués Spain
Vijay S. Desai United States
Rashmi Malhotra United States
Tomas Eklund Finland
Efstathios Kirkos Greece
Kenneth O. Cogger United States
Kurt Fanning United States
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Citations per year

Countries citing papers authored by Barbro Back

Since Specialization
Citations

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

Fields of papers citing papers by Barbro Back

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Barbro Back, 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 Barbro Back Line = papers co-authored together Barbro Back links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996149
2 2004105
3
Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms
199692
4 200153
5 199849
6 200443
7 200341
8
ASSESSING THE FEASIBILITY OF SELF-ORGANIZING MAPS FOR DATA MINING FINANCIAL INFORMATION
200222
9 201121
10 201317
11 200715
12 199315
13 200212
14 200711
15 201011
16
The Effect of Sample Size on Different Failure Prediction Methods
199811
17 200410
18 200810
19 200710
20
Combining data and text mining techniques for analysing financial reports: Research Articles
20047

About Barbro Back

Barbro Back is a scholar working on Artificial Intelligence, Information Systems, Marketing, Management Science and Operations Research and Accounting, having authored 39 papers that have together received 763 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Data Mining Algorithms and Applications (6 papers), Advanced Text Analysis Techniques (6 papers), Neural Networks and Applications (6 papers), Data Visualization and Analytics (4 papers), Natural Language Processing Techniques (4 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Customer churn and segmentation (4 papers). The work is most often cited by research in Accounting (326 citations), Management Science and Operations Research (209 citations), Finance (123 citations), Management Information Systems (93 citations) and Artificial Intelligence (324 citations). Barbro Back has collaborated with scholars based in Finland. Frequent co-authors include Kaisa Sere, Hannu Vanharanta, Teija Laitinen, Ari Visa, Tomas Eklund, Michiel van Wezel, Jonas Karlsson, Peter Sarlin, Antti Arppe and Sanna Salanterä. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Management Information Systems, International Journal of Medical Informatics, Expert Systems with Applications and Information & Management.

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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