Jim Koehler
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Marketing top 10%
- Consumer Market Behavior and Pricing
Papers in
- Marketing 11
- Consumer Market Behavior and Pricing 11
-
- Advanced Causal Inference Techniques 2
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Nicolas RémyKay H. BrodersenSteven L. ScottDavid ChanYuan YuanDavid W. ChanMark MergenChristoph Best
- Journals
- Journal of Advertising Research (2 papers)Annals of Glaciology (1 paper)The Annals of Applied Statistics (1 paper)Perceptual and Motor Skills (1 paper)
- Partner nations
- United States
In The Last Decade
Jim Koehler
12 papers receiving 593 citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 55
- Marketing 72
- Statistics and Probability 64
- Transportation 33
- Management Science and Operations Research 60
Countries citing papers authored by Jim Koehler
This map shows the geographic impact of Jim Koehler'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 Jim Koehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Koehler more than expected).
Fields of papers citing papers by Jim Koehler
This network shows the impact of papers produced by Jim Koehler. 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 Jim Koehler. The network helps show where Jim Koehler may publish in the future.
Co-authors
The 14 scholars most cited alongside Jim Koehler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | A Causal Framework for Digital Attribution | 2018 | 1 |
| 3 | Bayesian Methods for Media Mix Modeling with Carryover and Shape Effects | 2017 | 6 |
| 4 | Geo-level Bayesian Hierarchical Media Mix Modeling | 2017 | 1 |
| 5 | 2017 | 5 | |
| 6 | TV Impact on Online Searches | 2017 | 1 |
| 7 | A Hierarchical Bayesian Approach to Improve Media Mix Models Using Category Data | 2017 | 2 |
| 8 | How Many People Visit YouTube? Imputing Missing Events in Panels With Excess Zeros | 2015 | 1 |
| 9 | Inferring causal impact using Bayesian structural time-series models Hit paper breakdown → | 2015 | 566 |
| 10 | How Many Millennials Visit YouTube? Estimating Unobserved Events From Incomplete Panel Data Conditioned on Demographic Covariates | 2015 | 0 |
| 11 | Data enrichment for incremental reach estimation | 2014 | 1 |
| 12 | The Optimal Mix of TV and Online Ads to Maximize Reach | 2013 | 0 |
| 13 | Impact Of Ranking Of Organic Search Results On The Incrementality Of Search Ads | 2012 | 7 |
| 14 | The Incremental Reach and Cost Efficiency of Online Video Ads over TV Ads | 2012 | 4 |
| 15 | 2011 | 21 | |
| 16 | Measuring Ad Effectiveness Using Geo Experiments | 2011 | 9 |
| 17 | Prediction of Advertiser Churn for Google AdWords | 2010 | 10 |
| 18 | 1963 | 2 |
About Jim Koehler
Jim Koehler is a scholar working on Marketing, Statistics and Probability, General Social Sciences, Computer Graphics and Computer-Aided Design and Economics and Econometrics, having authored 18 papers that have together received 640 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (11 papers), Digital Marketing and Social Media (4 papers), Economic and Environmental Valuation (2 papers), Media Influence and Politics (2 papers), Digital Platforms and Economics (2 papers), Advanced Causal Inference Techniques (2 papers), Image and Signal Denoising Methods (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Modeling and Simulation (55 citations), Marketing (72 citations), Statistics and Probability (64 citations), Transportation (33 citations) and Management Science and Operations Research (60 citations). Jim Koehler has collaborated with scholars based in United States. Frequent co-authors include Nicolas Rémy, Kay H. Brodersen, Steven L. Scott, David Chan, Yuan Yuan, David W. Chan, Mark Mergen, Christoph Best, Yueqing Wang and Karl U. Smith. Their work appears in journals such as Journal of Advertising Research, Annals of Glaciology, The Annals of Applied Statistics and Perceptual and Motor Skills.
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.